LHA Sentence Alignments Extracted From the Austria Press Agency Corpus
<p>Conference paper: <a href="https://aclanthology.org/2021.ranlp-1.150/">Exploring German Multi-Level Text Simplification</a></p> <p>Sentence alignments extracted with LHA (Nikolov and Hahnloser, 2019) from the Austria Press Agency (<em>Austria Presse Agentur</em>, APA) corpus. It contains alignments from news items between August 2018 and April 2021. There are alignments for CEFR levels A2 and B1 to the original standard German text.</p> <p> </p> <p>Nikola I. Nikolov and Richard Hahnloser. 2019. Large-scale hierarchical alignment for data-driven text rewriting. In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019), pages 844–853, Varna, Bulgaria. INCOMA Ltd.</p>
ShareScore
12/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 0
- Reuse readiness
- 0
- Engagement
- 0
Topics
Dataset details
- Repository
- zenodo
- Published
- August 31, 2021
- License
- Not reported
- DOI
- 10.5281/zenodo.5148162
Scored with release 0.9.0
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